If you are a data scientist with a passion to show business impact and value to the business with your data science skills, this could be a right opportunity for you to apply.

What’s the role?

 As a data scientist you’re going to be responsible for:

• leading and executing complex Data Science projects
• Developing advanced data science solutions for problem statements in Finance
• Generating business insights from data analytics at the request from the business, generate and enable value to the business.
• Identifying new value pockets and bring key business stakeholders on board and enable value through project delivery
• Setting up and demonstrating world class standards and best practices in project execution and quality of delivery
• Acting as a Technical Authority and auditing other projects
• Articulating clearly, the data science work, its approach, and its value to senior stakeholders
• Coaching other team members

What we need from you?

We need a strong individual contributor with excellent delivery and interpersonal skills.

Furthermore, you will have:

• Strong experience from multiple data science/ AI projects,
• Good knowledge of Forecasting
• It would be an advantage if the candidate has completed 1 to 2 projects in Finance domain using analytics
• Advanced Python is a must (great if some work is documented in a GitHub repo)
• knowledge of cloud technology would be an asset
• Understanding of Finance/ Financial Accounting is an additional advantage
• Ability to work with and influence a range of stakeholders with various backgrounds and seniority is a must
• Working knowledge of SQL
• Familiarity with key concepts of object-oriented programming
• Knowledge of SAP, Power BI and/or Alteryx would be an advantage
• Proficiency in any other programming languages (especially C++, Java, SCALA) would be an advantage;
• Expertise in Statistics / Mathematics [Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory]
• Expertise in Advanced Timeseries forecasting techniques and/or Advanced Machine learning techniques would be an asset